Intrusion Detection System for IoT Networks

Haleema Tallat

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ML Engineer

CTO

AI Model Developer

C

Python

PyTorch

Leading the team for the Intrusion Detection System (IDS) for IoT networks involved fostering collaboration and innovation among team members. Regular meetings were organized to discuss project milestones, allocate tasks, and address any challenges. Drawing on each team member's expertise, a comprehensive approach to designing and implementing the IDS was ensured, considering factors such as network topology, device behavior analysis, and anomaly detection techniques. Effective communication and guidance led to the successful delivery of a robust IDS solution tailored to the unique security needs of IoT networks.
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Posted Apr 18, 2024

The project implements an Intrusion Detection System (IDS) for IoT networks. It detects anomalies in device behavior to mitigate security risks.

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ML Engineer

CTO

AI Model Developer

C

Python

PyTorch

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